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Syllabus

Syllabus. Multivariate Statistics 4th Semester. Edi Ariyanto, S E , MSI Lecturer. Subject Description. Multivariate statistics course is a compulsory subject and have to take by students from Faculty of Economics Andalas University.

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Syllabus

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  1. Syllabus Multivariate Statistics 4th Semester Edi Ariyanto, SE, MSI Lecturer

  2. Subject Description Multivariate statistics course is a compulsory subject and have to take by students from Faculty of Economics Andalas University. The students who want to take this subject have to pass on Economic Statistics firstly. As an advanced tools subject, This course offers complicated and full of data processing, especially using a lot of variables analysis. In addition, the using of computer devices will be very substantial and helpfull, for this reason, student is suggested to bring and use computer device (notebook) to calculate data, Windows packaging software such as Microsoft Excell, is relevant to uses as well as SPSS Software.

  3. Objectives. Knowing and understanding how to calculating and processing data. Understand and have the ability to analyze data more than 2 variables. Able to interpret results of data processing.

  4. Student Evaluation and Assesment Only Students which minimum attending more than 75% are allowed taking final test. Student assestments composition are: Mid Test ± 30% (?) Final Test ± 40% (?) Assignment and Class participation ± 30% (?)

  5. Literature Walpole, R.E, Raymond H. Myers, S.H. Myers, Keying Ye (2002). Probability and Statistics for Engineers and Scientists, 7th. Edition, Prentice Hall, Inc, New Jersey Kvanli, Alan H, R.J Pavur, K. B. Keeling (2003). Introduction to Business Statistics, 6th. Edition, Thomson South Western. Iman, Ronald L. & J Conover (1983), Modern Business Statistics, John Wiley and Sons, New York. Dillon, William R, Matthew Goldstein (1984), Multivariate Analysis, John Wiley and Sons, Canada. Sprent, P. (1989), Applied Nonparametric Statistical Methods, Chapman and Hall. Others Relevant books

  6. Subject Content (Tentative)

  7. After Mid Semester

  8. STATISTIC FOR ECONOMICS Review

  9. 1. DESCRIPTIVE STATISTICS * Introduction of data, what is statistics * Distribution of Frequency and data presentation * Measure of central tendency * Dispersion • Index Number • Trend Analysis (Time Series Data) • Estimation • Simple Regression and correlation Analysis

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